AI Platform Engineer

Company Description

Veracross provides SaaS-based School Information Systems (SIS) designed to meet the specific needs of independent K-12 schools worldwide. Our one-record solution combines the power of a fully integrated single-record database, personalized communication tools, and an elegant architecture that is unique in our industry.

We are a growing, values-led community of 350 plus employees in the US, UK and Australia who share a vision to unify school communities, improve the quality of education, and enhance learning. And we're succeeding!

Veracross is five product brands in one global tech company

• Veracross SIS is a one-person, one-record school management platform
• Magnus Health provides cloud-based Student Health Record (SHR) solutions
• Digistorm connects with their communities through Digistorm Websites, Digistorm Funnel, and Digistorm Apps.
• Epraise incentivizes student well-being and connects teachers, students, and families.
• Firefly provides an online learning space for students and teachers
  
  

About The Role

We're forming a new AI & Data Operations team and hiring our first AI Platform Engineer to bring safe, practical AI operations into our EdTech products. You'll work end‑to‑end across the AI stack - from infrastructure to shipping features.

This is a hands‑on role. You'll partner closely with engineering leadership and product teams to ship AI features that help schools, while ensuring reliability, safety, and cost control.

What You'll Do

Build AI‑Powered Product Features

• Design and ship agentic AI products to optimize and automate school operations
• Build systems using school‑specific data and institutional knowledge; develop prompt strategies and reusable libraries
• Integrate AI capabilities into existing Ruby on Rails applications via APIs and SDKs
  
  

Operate, Optimize & Scale LLM Systems

• Curate and maintain our AWS AI infrastructure (Bedrock, GuardRails, etc.)
• Evaluate and select models, benchmark quality, latency, and cost on school operations tasks
• Optimize prompts, caching, batching, and workflows to improve performance and reduce spend
• Monitor token usage and implement budgeting and cost controls; run A/B tests across approaches
  
  

Safety, Guardrails & Compliance

• Design guardrails to prevent hallucinations, bias, and inappropriate outputs
• Detect and redact PII in AI inputs/outputs; establish safety protocols for K-12

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• Build feedback loops for human review and continuous improvement
  
  

Observability & Evaluation

• Instrument AI systems with logging, metrics, and tracing; build dashboards for quality, latency, cost, and safety
• Create evaluation datasets and automated testing pipelines, incorporate user feedback into ongoing improvements
  
  

Research & Enablement

• Stay current with the AI/ML ecosystem; prototype new models, techniques, and tools
• Evaluate and select AI hosting solutions (AWS AgentCore, Cloudflare Agents, etc.)
  
  

What You'll Build (First 12 Months)

• AI‑powered features with measurable impact on school operations
• Core AI operations infrastructure: evaluation, monitoring, and guardrails
• Scalable best practices for responsible AI across our products
  
  

Requirements

• 5+ years of software engineering experience, including hands‑on LLM work
• Experience building and operating production AI applications
• Strong understanding of prompt engineering LLM best practices
• Comfortable working with APIs in a polyglot environment
  
  

Strongly Preferred

• Applied AI skills
• Ruby on Rails experience (or willingness to learn quickly) or similar frameworks
• Experience in regulated or safety‑sensitive domains
  
  

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Personal Qualities

• Pragmatic, production‑minded, and security focused
• Curious and fast‑learning; clear communicator with technical and non‑technical audiences
• Mission‑driven about improving school operations
  
  

Why This Role Is Unique

• One of the first roles shaping AI solutions across our entire product portfolio
• Direct impact on the quality of life of our users
• Modern AI solving real problems—not research for research's sake
• Work on a roadmap with strong executive support on a small team with big influence
  
  

Our Tech Environment

Ruby on Rails applications

• SQL Server, Postgres & MySQL
• AWS cloud infrastructure
  
  

You'll have meaningful input into tool selection, workflows, and long‑term AI strategy.

Benefits

• Our team is fully remote- everyone works from home
• 25 days holiday, plus public holidays
• 4% matched pension contributions
• Payroll Giving
• Private medical
• Discounted Gym Membership
• Cycle Scheme
• Enhanced Sick pay
• Enhanced Maternity, Paternity, Adoption and shared Paternity Leave pay
• Employee Assistance Program